Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes

24 June 2020

Papers citing "Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes"

7 / 7 papers shown

Title
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space Jonatha Anselmi B. Gaujal Louis-Sébastien Rebuffi 27 2 0 21 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 32 5 0 08 Feb 2023
Learning in Congestion Games with Bandit Feedback Qiwen Cui Zhihan Xiong Maryam Fazel S. Du 26 12 0 04 Jun 2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization Mirco Mutti Ric De Santi Emanuele Rossi J. Calderón Michael M. Bronstein Marcello Restelli 30 14 0 14 Feb 2022
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs Thomas Spooner N. Vadori Sumitra Ganesh 30 7 0 20 Feb 2021
Causal Markov Decision Processes: Learning Good Interventions Efficiently Yangyi Lu A. Meisami Ambuj Tewari 23 10 0 15 Feb 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL Tiancheng Yu Yi Tian Jiaming Zhang S. Sra 14 20 0 05 Feb 2021